PPIM: A Protein-Protein Interaction Database for Maize
Author(s) -
Guanghui Zhu,
Aibo Wu,
Xin-Jian Xu,
Peipei Xiao,
Le Lü,
Jingdong Liu,
Yongwei Cao,
Luonan Chen,
Jun Wu,
XingMing Zhao
Publication year - 2015
Publication title -
plant physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.554
H-Index - 312
eISSN - 1532-2548
pISSN - 0032-0889
DOI - 10.1104/pp.15.01821
Subject(s) - protein–protein interaction , zea mays , database , crop , computer science , resource (disambiguation) , microbiology and biotechnology , computational biology , biology , agronomy , genetics , computer network
Maize (Zea mays) is one of the most important crops worldwide. To understand the biological processes underlying various traits of the crop (e.g. yield and response to stress), a detailed protein-protein interaction (PPI) network is highly demanded. Unfortunately, there are very few such PPIs available in the literature. Therefore, in this work, we present the Protein-Protein Interaction Database for Maize (PPIM), which covers 2,762,560 interactions among 14,000 proteins. The PPIM contains not only accurately predicted PPIs but also those molecular interactions collected from the literature. The database is freely available at http://comp-sysbio.org/ppim with a user-friendly powerful interface. We believe that the PPIM resource can help biologists better understand the maize crop.
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